Software and Machine Learning Engineering Internship
External
Ing · Cdr (amsterdam - Cedar)Full-timeHybridToday
AgileGCPMachine LearningMovePython
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About the role
As an intern in Retail Banking Analytics team, you will be working with engineers building a model factory that enables data scientists build machine learning models on public cloud (GCP) to predict customer behaviours. The aim of this internship is to gain hands-on engineering experience in a fast-paced, interdisciplinary team, develop tooling and architecture that will be used by data scientists, and learning to balance engineering excellence with tight deadlines and the needs of stakeholders.
Responsibilities
- Convert business requirements to high quality python code
- Collaborate with the team on designing elegant and maintainable architectures with senior engineers
- Deploy machine learning models on GCP
- Engineer new features using ibis
- Develop new machine learning pipelines
- How to succeed
- We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.
- To take on this challenging and rewarding opportunity, you'll need:
- Currently pursuing a degree in Computer Science, Artificial Intelligence, or a related field.
- Strong analytical and quantitative skills.
- Basic knowledge of Python programming.
- Knowledge of different software design patterns and when to use them
- Interest in Software and Machine Learning engineering.
- Excellent communication skills and attention to detail.
- Being a fast learner
- Ability to work in a fast-paced, team-oriented environment.
Benefits
A dynamic and international environment. As part of the Data & Analytics Engineering team, you will collaborate within a cross-functional group responsible for end-to-end delivery and ownership, contributing in an Agile manner throughout the application lifecycle.Hands-on experience in software & ML engineering in our global analytics department.Exposure to senior professionals and industry leaders.Rewards and benefitsThis is a great opportunity to train with highly skilled people who are experts in their field. You'll do a lot and learn a lot - not only about your specialist area and the bank, but also about yourself and whether this type of environment is right for you.You'll also benefit from:Internship allowance of 700 EUR based on 36 hours work weekYour own work laptopHybrid working to blend home working for focus and office working for collaboration and co-creationPersonal growth and challenging work with endless possibilitiesAn informal working environment with innovative colleaguesDuring the duration of your internship at ING, it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders).Want to apply directly?Please upload your CV and motivation letter by clicking the 'Apply' button.About our internshipsEvery year, more than 350 students join our internship program. While there are no guarantees about your future, many of our former interns move into a permanent role or onto our International Talent Programme (traineeship).Whatever happens, an internship at ING is the ideal opportunity to meet a wide variety of people, to build up your own network, and to learn about many different aspects of banking - put simply, it's a great start to your career.Paid time off
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